This course is designed to provide an introduction to neural networks for those with no prior knowledge. It will cover the fundamentals of neural networks, including their structure, how they learn, and how they can be used to solve a variety of problems. The course will also provide an overview
A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural networks.In neuroscience, a biological neural network is a physical structure found in brains and complex nervous systems – a population of nerve cells connected by synapses. In machine learning, an artificial neural network is a mathematical model used to approximate nonlinear functions. Artificial neural networks are used to solve artificial intelligence problems.